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arXiv · 2111.03884

An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy

Daniel Fraunholz·Marc Zimmermann·Hans D. Schotten
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Abstract

Since honeypots first appeared as an advanced network security concept they suffer from poor deployment and maintenance strategies. State-of-the-Art deployment is a manual process in which the honeypot needs to be configured and maintained by a network administrator. In this paper we present a method for a dynamic honeypot configuration, deployment and maintenance strategy based on machine learning techniques. Our method features an identification mechanism for machines and devices in a network. These entities are analysed and clustered. Based on the clusters, honeypots are intelligently deployed in the network. The proposed method needs no configuration and maintenance and is therefore a major advantage for the honeypot technology in modern network security.

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Daniel Fraunholz, Marc Zimmermann, Hans D. Schotten. 2021-11-06. An Adaptive Honeypot Configuration, Deployment and Maintenance Strategy. https://arxiv.org/abs/2111.03884

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